
<h1><span class="yiyi-st" id="yiyi-13">numpy.ma.load</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.load.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.load.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="function">
<dt id="numpy.ma.load"><span class="yiyi-st" id="yiyi-14"> <code class="descclassname">numpy.ma.</code><code class="descname">load</code><span class="sig-paren">(</span><em>F</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/ma/core.py#L7650-L7672"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-15">封装在<code class="docutils literal"><span class="pre">cPickle.load</span></code>周围，它接受类似文件的对象或文件名。</span></p>
<table class="docutils field-list" frame="void" rules="none">
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-16">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-17"><strong>F</strong>：str或文件</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-18">要加载的文件或文件名。</span></p>
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</tr>
</tbody>
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<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-19">也可以看看</span></p>
<dl class="last docutils">
<dt><span class="yiyi-st" id="yiyi-20"><a class="reference internal" href="numpy.ma.dump.html#numpy.ma.dump" title="numpy.ma.dump"><code class="xref py py-obj docutils literal"><span class="pre">dump</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-21">选择数组</span></dd>
</dl>
</div>
<p class="rubric"><span class="yiyi-st" id="yiyi-22">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-23">这不同于<a class="reference internal" href="numpy.load.html#numpy.load" title="numpy.load"><code class="xref py py-obj docutils literal"><span class="pre">numpy.load</span></code></a>，它不使用cPickle，而是加载NumPy二进制.npy格式。</span></p>
</dd></dl>
